SDOR Analysis for Task Offloading in Smart Farm Secure UAV-Assisted Communication Systems

Due to the critical need for ultra-high reliability, low latency, and high energy efficiency in IoT devices for smart farming, in this work, we introduce the secrecy delay outage rate (SDOR) as a novel benchmark for evaluating the upper performance limits of secure UAV-assisted communication systems. This benchmark effectively measures the timeliness and confidentiality of data transfers in secure unmanned aerial vehicle (UAV)-assisted uplink communication systems. To facilitate the SDOR analysis, we consider height-dependent probabilistic Line-of-Sight (LoS) channels subject to Rician fading effects and employ a computing model strategy for task offloading. Additionally, we implement a UAV scheduling strategy to enhance the channel capacity for legitimate users. We derive the closed-form expression of the SDOR and conduct an asymptotic analysis in high signal-to-noise ratio (SNR) regimes for deeper insights. Through analytical and numerical results, we examine the impact of environmental conditions, transmit power, task offload ratio, and the volume of transmitted data on the overall system performance. This work not only advances the theoretical framework of SDOR analysis for task offloading in smart farming applications but also paves the way for future research in secure UAV-assisted communication networks.